Regression modelGIS / spatial

Global Spatial Autocorrelation

Global Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.

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Sources

  1. Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI: 10.2307/2332142
  2. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737322

Related methods

ScholarGateGlobal Spatial Autocorrelation (Global Spatial Autocorrelation Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/global-spatial-autocorrelation